Abstract
In order to ensure the security of transmission data in the system, a secure transmission channel can be established by using steganography in order to ensure the security of transmission data in the system. STDM (Spread Transform Dither Modulation) watermarking algorithm has a good performance on robustness, capacity and blind detection. In order to make a balance between robustness and transparency, this paper make some improvements on the selection and construction of project vector of STDM based on research of Watson vision model, and then proposed an improvement STDM watermarking algorithm. The simulation results shows that this method can improve robustness performance when comes into JPEG attack.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Hong, B.B.: Research on robust digital image and video watermarking scheme. Beijing University of Posts and Telecommunications (2013)
Cox, I.J., Miller, M.I., Bloom, J.A.: Digital Watermarking, pp. 5–6. MordanKaufnann Publisher, San Francisco (2002)
Li, Q., Doerr, G., Cox, I.J.: Spread transform dither modulation using a perceptual model. In: IEEE Workshop on Multimedia Signal Processing, pp. 98–102. IEEE (2006)
Li, Q., Cox, I.J.: Improved spread transform dither modulation using a perceptual model: robustness to amplitude scaling and JPEG compression. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. II-185–II-188. IEEE Xplore (2007)
Yu, D., Ma, L., Wang, G., et al.: Adaptive spread-transform dither modulation using an improved luminance-masked threshold. In: IEEE International Conference on Image Processing, pp. 449–452. IEEE (2008)
Li, X.C.: Digital Watermarking Based on Spread Transform Dither Modulation. Shandong University (2011)
Perez-Gonzalez, F., Balado, F., Martin, J.R.H.: Performance analysis of existing and new methods for data hiding with known-host information in additive channels. IEEE Trans. Signal Process. 51(4), 960–980 (2003)
Chen, B., Wornell, G.W.: Provably robust digital watermarking. 3845, 43–54 (1999)
Ma, Z.W., Man, C.T., Li, W.: Audio watermarking algorithm based on STDM and particle swarms optimizations. J. Harbin Univ. Sci. Technol. 5, 73–78 (2016)
Sun, X.X., Cao, G.Z.: Discussion of perceptual model watermark based on Watson. Mod. Electron. Tech. 32(7), 76–78 (2009)
Xiao, J., Wang, Y.: Project vector of spread transform dither modulation watermarking algorithm. J. Image Graph. 11(12), 1799–1805 (2006)
Acknowledgements
This work was supported by the science and technology project of Guangdong Power Grid Co., Ltd, (036000KK52170002).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Jiang, W., Kang, Z., Chen, Y. (2018). Improvement of STDM Watermarking Algorithm Based on Watson Model. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11065. Springer, Cham. https://doi.org/10.1007/978-3-030-00012-7_53
Download citation
DOI: https://doi.org/10.1007/978-3-030-00012-7_53
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00011-0
Online ISBN: 978-3-030-00012-7
eBook Packages: Computer ScienceComputer Science (R0)